Tuesday, March 8, 2022

Language Translation Software Market Size to Grow by USD 9.37 Billion| 17,000+ Technavio Research Reports - PR Newswire - Translation

To get the exact yearly growth variance and the Y-O-Y growth rate, Talk to our analyst.

Key Market Dynamics:

  • Market Driver
  • Market Challenges

The increased adoption of mobile translation and globalization of businesses are some of the key market drivers.  With the increasing popularity of mobile devices, there is a huge demand for the mobile-first approach by both businesses and individuals. Many companies globally are increasingly developing solutions for mobile users. As a result, there is an increasing demand for mobile-based translation software among individual learners and corporate organizations. In addition, The growing demand for cloud-based language translation software offerings is another factor supporting the language translation software market share growth. The adoption of cloud computing is rapidly increasing across the world, owing to the flexibility and cost benefits associated with cloud services. 

However, factors such as threat from open-source language translation software providers will challenge market growth. The global language translation software market has many open-source vendors that provide a range of language translation software and applications. A combination of multiple products from various open-source vendors can cover almost all the functionalities provided by web-based or cloud language translation software vendors. Open-source language translation software is becoming increasingly popular in developing economies such as India and China, as most small-scale enterprises in these economies cannot afford to invest in expensive web-based and cloud-based language translation software. This, in turn, has negatively impacted the market share of language translation software vendors.

To learn about additional key drivers, trends, and challenges available with TechnavioRead our FREE Sample Report!

The language translation software market report is segmented by solution (rule-based machine translation, statistical-based machine translation, hybrid machine translation, and others) and geography (North America, Europe, APAC, South America, and Middle East and Africa). The rule-based machine translation segment accounted for the highest share in 2021. The segment will continue to account for the highest share during the forecast period as this type of machine translation is widely used by various end-use industries such as BFSI, government, IT and telecom, healthcare, and others as it includes parallel language machine translation, transfer-based machine translation, and dictionary-based machine translation technologies. 

In terms of Geography,  Europe will be the leading region with 30% of the market's growth during the forecast period. UK and Germany are the key markets for language translation software in Europe. Market growth in this region will be faster than the growth of the market in the North American and MEA regions. 

View our sample report for additional insights into the contribution of all the segments and regional opportunities

Some Companies Mentioned with their Offerings

    • Acolad
    • Alphabet Inc.
    • AppTek
    • Babylon Software Ltd.
    • Global Linguist Solutions LLC
    • Inriver AB
    • International Business Machines Corp.
    • Language Engineering Co.
    • LanguageLine Solutions
    • Lingotek Inc.
    • Lionbridge Technologies LLC
    • MateCat
    • Memsource AS
    • Microsoft Corp.
    • RR Donnelley and Sons Co.
    • RWS Holdings PLC
    • SYSTRAN SA
    • thebigword Group Ltd.
    • Transifex Ltd.
  • To gain access to more vendor profiles with their key offerings available with Technavio, Click Here

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Language Translation Software Market Scope

Report Coverage

Details

Page number

120

Base year

2021

Forecast period

2022-2026

Growth momentum & CAGR

Accelerate at a CAGR of 15.3%

Market growth 2022-2026

$ 9.37 billion

Market structure

Fragmented

YoY growth (%)

14.21

Regional analysis

North America, Europe, APAC, South America, and Middle East and Africa

Performing market contribution

Europe at 30%

Key consumer countries

US, China, Japan, UK, and Germany

Competitive landscape

Leading companies, competitive strategies, consumer engagement scope

Companies profiled

Acolad, Alphabet Inc., AppTek, Babylon Software Ltd., Global Linguist Solutions LLC, Inriver AB, International Business Machines Corp., Language Engineering Co., LanguageLine Solutions, Lingotek Inc., Lionbridge Technologies LLC, MateCat, Memsource AS, Microsoft Corp., RR Donnelley and Sons Co., RWS Holdings PLC, SYSTRAN SA, thebigword Group Ltd., and Transifex Ltd.

Market Dynamics

Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and future consumer dynamics, market condition analysis for the forecast period.

Customization purview

If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.

Key Topics Covered:

1 Executive Summary

  • 1.1 Market overview
    • Exhibit 01: Executive Summary – Chart on Market Overview
    • Exhibit 02: Executive Summary – Data Table on Market Overview
    • Exhibit 03: Executive Summary – Chart on Global Market Characteristics
    • Exhibit 04: Executive Summary – Chart on Market by Geography
    • Exhibit 05: Executive Summary – Chart on Market Segmentation by Solution
    • Exhibit 06: Executive Summary – Chart on Incremental Growth
    • Exhibit 07: Executive Summary – Data Table on Incremental Growth
    • Exhibit 08: Executive Summary – Chart on Vendor Market Positioning
  • 2 Market Landscape
  • 2.1 Market ecosystem
    • Exhibit 09: Parent market
    • Exhibit 10: Market Characteristics
  • 3 Market Sizing
  • 3.1 Market definition
    • Exhibit 11: Offerings of vendors included in the market definition
  • 3.2 Market segment analysis
    • Exhibit 12: Market segments
  • 3.3 Market size 2021
  • 3.4 Market outlook: Forecast for 2021-2026
    • Exhibit 13: Chart on Global - Market size and forecast 2021-2026 ($ million)
    • Exhibit 14: Data Table on Global - Market size and forecast 2021-2026 ($ million)
    • Exhibit 15: Chart on Global Market: Year-over-year growth 2021-2026 (%)
    • Exhibit 16: Data Table on Global Market: Year-over-year growth 2021-2026 (%)
  • 4 Five Forces Analysis
  • 4.1 Five forces summary
    • Exhibit 17: Five forces analysis - Comparison between 2021 and 2026
  • 4.2 Bargaining power of buyers
    • Exhibit 18: Bargaining power of buyers – Impact of key factors in 2021 and 2026
  • 4.3 Bargaining power of suppliers
    • Exhibit 19: Bargaining power of suppliers – Impact of key factors in 2021 and 2026
  • 4.4 Threat of new entrants
    • Exhibit 20: Threat of new entrants – Impact of key factors in 2021 and 2026
  • 4.5 Threat of substitutes
    • Exhibit 21: Threat of substitutes – Impact of key factors in 2021 and 2026
  • 4.6 Threat of rivalry
    • Exhibit 22: Threat of rivalry – Impact of key factors in 2021 and 2026
  • 4.7 Market condition
    • Exhibit 23: Chart on Market condition - Five forces 2021 and 2026
  • 5 Market Segmentation by Solution
  • 5.1 Market segments
    • Exhibit 24: Chart on Solution - Market share 2021-2026 (%)
    • Exhibit 25: Data Table on Solution - Market share 2021-2026 (%)
  • 5.2 Comparison by Solution
    • Exhibit 26: Chart on Comparison by Solution
    • Exhibit 27: Data Table on Comparison by Solution
  • 5.3 Rule-Based Machine Translation - Market size and forecast 2021-2026
    • Exhibit 28: Chart on Rule-Based Machine Translation - Market size and forecast 2021-2026 ($ million)
    • Exhibit 29: Data Table on Rule-Based Machine Translation - Market size and forecast 2021-2026 ($ million)
    • Exhibit 30: Chart on Rule-Based Machine Translation - Year-over-year growth 2021-2026 (%)
    • Exhibit 31: Data Table on Rule-Based Machine Translation - Year-over-year growth 2021-2026 (%)
  • 5.4 Statistical-Based Machine Translation - Market size and forecast 2021-2026
    • Exhibit 32: Chart on Statistical-Based Machine Translation - Market size and forecast 2021-2026 ($ million)
    • Exhibit 33: Data Table on Statistical-Based Machine Translation - Market size and forecast 2021-2026 ($ million)
    • Exhibit 34: Chart on Statistical-Based Machine Translation - Year-over-year growth 2021-2026 (%)
    • Exhibit 35: Data Table on Statistical-Based Machine Translation - Year-over-year growth 2021-2026 (%)
  • 5.5 Hybrid Machine Translation - Market size and forecast 2021-2026
    • Exhibit 36: Chart on Hybrid Machine Translation - Market size and forecast 2021-2026 ($ million)
    • Exhibit 37: Data Table on Hybrid Machine Translation - Market size and forecast 2021-2026 ($ million)
    • Exhibit 38: Chart on Hybrid Machine Translation - Year-over-year growth 2021-2026 (%)
    • Exhibit 39: Data Table on Hybrid Machine Translation - Year-over-year growth 2021-2026 (%)
  • 5.6 Others - Market size and forecast 2021-2026
    • Exhibit 40: Chart on Others - Market size and forecast 2021-2026 ($ million)
    • Exhibit 41: Data Table on Others - Market size and forecast 2021-2026 ($ million)
    • Exhibit 42: Chart on Others - Year-over-year growth 2021-2026 (%)
    • Exhibit 43: Data Table on Others - Year-over-year growth 2021-2026 (%)
  • 5.7 Market opportunity by Solution
    • Exhibit 44: Market opportunity by Solution ($ million)
  • 6 Customer Landscape
  • 6.1 Customer landscape overview
    • Exhibit 45: Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • 7 Geographic Landscape
  • 7.1 Geographic segmentation
    • Exhibit 46: Chart on Market share by geography 2021-2026 (%)
    • Exhibit 47: Data Table on Market share by geography 2021-2026 (%)
  • 7.2 Geographic comparison
    • Exhibit 48: Chart on Geographic comparison
    • Exhibit 49: Data Table on Geographic comparison
  • 7.3 North America - Market size and forecast 2021-2026
    • Exhibit 50: Chart on North America - Market size and forecast 2021-2026 ($ million)
    • Exhibit 51: Data Table on North America - Market size and forecast 2021-2026 ($ million)
    • Exhibit 52: Chart on North America - Year-over-year growth 2021-2026 (%)
    • Exhibit 53: Data Table on North America - Year-over-year growth 2021-2026 (%)
  • 7.4 Europe - Market size and forecast 2021-2026
    • Exhibit 54: Chart on Europe - Market size and forecast 2021-2026 ($ million)
    • Exhibit 55: Data Table on Europe - Market size and forecast 2021-2026 ($ million)
    • Exhibit 56: Chart on Europe - Year-over-year growth 2021-2026 (%)
    • Exhibit 57: Data Table on Europe - Year-over-year growth 2021-2026 (%)
  • 7.5 APAC - Market size and forecast 2021-2026
    • Exhibit 58: Chart on APAC - Market size and forecast 2021-2026 ($ million)
    • Exhibit 59: Data Table on APAC - Market size and forecast 2021-2026 ($ million)
    • Exhibit 60: Chart on APAC - Year-over-year growth 2021-2026 (%)
    • Exhibit 61: Data Table on APAC - Year-over-year growth 2021-2026 (%)
  • 7.6 South America - Market size and forecast 2021-2026
    • Exhibit 62: Chart on South America - Market size and forecast 2021-2026 ($ million)
    • Exhibit 63: Data Table on South America - Market size and forecast 2021-2026 ($ million)
    • Exhibit 64: Chart on South America - Year-over-year growth 2021-2026 (%)
    • Exhibit 65: Data Table on South America - Year-over-year growth 2021-2026 (%)
  • 7.7 Middle East and Africa - Market size and forecast 2021-2026
    • Exhibit 66: Chart on Middle East and Africa - Market size and forecast 2021-2026 ($ million)
    • Exhibit 67: Data Table on Middle East and Africa - Market size and forecast 2021-2026 ($ million)
    • Exhibit 68: Chart on Middle East and Africa - Year-over-year growth 2021-2026 (%)
    • Exhibit 69: Data Table on Middle East and Africa - Year-over-year growth 2021-2026 (%)
  • 7.8 US - Market size and forecast 2021-2026
    • Exhibit 70: Chart on US - Market size and forecast 2021-2026 ($ million)
    • Exhibit 71: Data Table on US - Market size and forecast 2021-2026 ($ million)
    • Exhibit 72: Chart on US - Year-over-year growth 2021-2026 (%)
    • Exhibit 73: Data Table on US - Year-over-year growth 2021-2026 (%)
  • 7.9 China - Market size and forecast 2021-2026
    • Exhibit 74: Chart on China - Market size and forecast 2021-2026 ($ million)
    • Exhibit 75: Data Table on China - Market size and forecast 2021-2026 ($ million)
    • Exhibit 76: Chart on China - Year-over-year growth 2021-2026 (%)
    • Exhibit 77: Data Table on China - Year-over-year growth 2021-2026 (%)
  • 7.10 UK - Market size and forecast 2021-2026
    • Exhibit 78: Chart on UK - Market size and forecast 2021-2026 ($ million)
    • Exhibit 79: Data Table on UK - Market size and forecast 2021-2026 ($ million)
    • Exhibit 80: Chart on UK - Year-over-year growth 2021-2026 (%)
    • Exhibit 81: Data Table on UK - Year-over-year growth 2021-2026 (%)
  • 7.11 Germany - Market size and forecast 2021-2026
    • Exhibit 82: Chart on Germany - Market size and forecast 2021-2026 ($ million)
    • Exhibit 83: Data Table on Germany - Market size and forecast 2021-2026 ($ million)
    • Exhibit 84: Chart on Germany - Year-over-year growth 2021-2026 (%)
    • Exhibit 85: Data Table on Germany - Year-over-year growth 2021-2026 (%)
  • 7.12 Japan - Market size and forecast 2021-2026
    • Exhibit 86: Chart on Japan - Market size and forecast 2021-2026 ($ million)
    • Exhibit 87: Data Table on Japan - Market size and forecast 2021-2026 ($ million)
    • Exhibit 88: Chart on Japan - Year-over-year growth 2021-2026 (%)
    • Exhibit 89: Data Table on Japan - Year-over-year growth 2021-2026 (%)
  • 7.13 Market opportunity by geography
    • Exhibit 90: Market opportunity by geography ($ million)
  • 8 Drivers, Challenges, and Trends
  • 8.1 Market drivers
  • 8.2 Market challenges
  • 8.3 Impact of drivers and challenges
    • Exhibit 91: Impact of drivers and challenges in 2021 and 2026
  • 8.4 Market trends
  • 9 Vendor Landscape
  • 9.1 Overview
  • 9.2 Vendor landscape
    • Exhibit 92: Overview on Criticality of inputs and Factors of differentiation
  • 9.3 Landscape disruption
    • Exhibit 93: Overview on factors of disruption
  • 9.4 Industry risks
    • Exhibit 94: Impact of key risks on business
  • 10 Vendor Analysis
  • 10.1 Vendors covered
    • Exhibit 95: Vendors covered
  • 10.2 Market positioning of vendors
    • Exhibit 96: Matrix on vendor position and classification
  • 10.3 Alphabet Inc.
    • Exhibit 97: Alphabet Inc. - Overview
    • Exhibit 98: Alphabet Inc. - Business segments
    • Exhibit 99: Alphabet Inc. - Key news
    • Exhibit 100: Alphabet Inc. - Key offerings
    • Exhibit 101: Alphabet Inc. - Segment focus
  • 10.4 Babylon Software Ltd.
    • Exhibit 102: Babylon Software Ltd. - Overview
    • Exhibit 103: Babylon Software Ltd. - Product / Service
    • Exhibit 104: Babylon Software Ltd. - Key offerings
  • 10.5 International Business Machines Corp.
    • Exhibit 105: International Business Machines Corp. - Overview
    • Exhibit 106: International Business Machines Corp. - Business segments
    • Exhibit 107: International Business Machines Corp. - Key news
    • Exhibit 108: International Business Machines Corp. - Key offerings
    • Exhibit 109: International Business Machines Corp. - Segment focus
  • 10.6 LanguageLine Solutions
    • Exhibit 110: LanguageLine Solutions - Overview
    • Exhibit 111: LanguageLine Solutions - Product / Service
    • Exhibit 112: LanguageLine Solutions - Key offerings
  • 10.7 Lionbridge Technologies LLC
    • Exhibit 113: Lionbridge Technologies LLC - Overview
    • Exhibit 114: Lionbridge Technologies LLC - Product / Service
    • Exhibit 115: Lionbridge Technologies LLC - Key offerings
  • 10.8 Microsoft Corp.
    • Exhibit 116: Microsoft Corp. - Overview
    • Exhibit 117: Microsoft Corp. - Business segments
    • Exhibit 118: Microsoft Corp. - Key offerings
    • Exhibit 119: Microsoft Corp. - Segment focus
  • 10.9 RR Donnelley and Sons Co.
    • Exhibit 120: RR Donnelley and Sons Co. - Overview
    • Exhibit 121: RR Donnelley and Sons Co. - Business segments
    • Exhibit 122: RR Donnelley and Sons Co. - Key offerings
    • Exhibit 123: RR Donnelley and Sons Co. - Segment focus
  • 10.10 RWS Holdings PLC
    • Exhibit 124: RWS Holdings PLC - Overview
    • Exhibit 125: RWS Holdings PLC - Business segments
    • Exhibit 126: RWS Holdings PLC - Key news
    • Exhibit 127: RWS Holdings PLC - Key offerings
    • Exhibit 128: RWS Holdings PLC - Segment focus
  • 10.11 SYSTRAN SA
    • Exhibit 129: SYSTRAN SA - Overview
    • Exhibit 130: SYSTRAN SA - Product / Service
    • Exhibit 131: SYSTRAN SA - Key offerings
  • 10.12 thebigword Group Ltd.
    • Exhibit 132: thebigword Group Ltd. - Overview
    • Exhibit 133: thebigword Group Ltd. - Product / Service
    • Exhibit 134: thebigword Group Ltd. - Key offerings
  • 11 Appendix
  • 11.1 Scope of the report
  • 11.2 Inclusions and exclusions checklist
    • Exhibit 135: Inclusions checklist
  • 11.3 Currency conversion rates for US$
    • Exhibit 136: Currency conversion rates for US$
  • 11.4 Research methodology
    • Exhibit 137: Research methodology
    • Exhibit 138: Validation techniques employed for market sizing
    • Exhibit 139: Information sources
  • 11.5 List of abbreviations
    • Exhibit 140: List of abbreviations

About Us
Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contact
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SPPU to release multi-lingual dictionary for comparative Buddhist studies Wednesday - The Indian Express - Dictionary

Scholars performing comparative studies on different Buddhist traditions can now easily access a multi-lingual Buddhist vocabulary dictionary.

The ‘Dictionary of Buddhist Terms’ will be a single book dealing with headwords in Pali, Sanskrit, Tibetan and English languages. Until now, Buddhist vocabulary was available in all these languages but as individual dictionaries.

The book contains the second and the third fascicules of a dictionary released last year. The new book will be released by the Department of Pali and Buddhist Studies at Savitribai Phule Pune University (SPPU) Wednesday.

This latest dictionary will take headwords in Pali, the basis, and provide meanings in English. It will also provide equivalents in Tibetan, Sanskrit and Buddhist terminologies along with their respective attestation in the literature. The book aims to simultaneously be used in tracing the changing meanings of Buddhist terminologies across space and time. Besides, it may reveal both the common and unique vocabularies used in Pali and Sanskrit Buddhist traditions.

The multilingual dictionary project, supported by Deshana, an Institute of Buddhist and Allied Studies and Khyentse Foundation, was initiated in June 2020.

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Monday, March 7, 2022

Konami's Japanese classic finally gets its fan translation - PCGamesN - Translation

When you’re not making jokes about pachinko machines, Konami is best known as the company behind the likes of Contra, Silent Hill, Metal Gear, and Castlevania. But among the company’s classic old games is one of the most influential ever made – a game so popular that an entire genre followed in its wake, and a game that’s never been playable in English before.

That game is called Tokimeki Memorial, and while it wasn’t technically the first dating sim, basically every entry in the genre that followed took its cues from this 1994 PC Engine game. You play as a high school boy aiming to earn the affections of a female classmate, managing your time over the course of a few school years as you build your relationship. It’s an entirely earnest take on young romance, too, with essentially no sexual content to be found.

And now it’s playable in English thanks to a fan translation romhack from the folks at Translated.Games, under the translated title Heartthrob Memorial: Under the Tree of Legends. The volume of text in the game and the technical constraints of its best versions have prevented a fan translation from arriving for a long time. This translation patch applies to the Super Famicom version of the game, which is a bit more limited than the earlier releases on PC Engine and PlayStation.

Romhacks are essentially mods for console games. This one also introduces some additional features thanks to the custom MSU-1 chip developed for modern SNES emulators, and offers an animated intro and voice acting for some key scenes.

YouTube Thumbnail

If you’ve heard of Tokimeki Memorial in the past year or so, it’s probably because of an extensive, half-comedic, half-deathly-serious six hour long video review from Tim Rogers. I won’t tell you how to spend the next six hours of your life, but I will tell you that it will probably be less interesting than this review.

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Google's latest Pixel update improves captions, translation and Duo - Engadget - Translation

While the Pixel 6 had a rocky finish to 2021 after its December software patch was pushed back to January, Google is looking to get back on track with the release of its 10th feature update for the company's line of phones.

Rolling out today on the Pixel 3a to the Pixel 5 followed by another wave of updates for the Pixel 6 and Pixel 6 Pro later this month, Google's newest feature drop includes new stickers for messaging in Gboard, Live Sharing in Google Duo, expanded support for Live Caption and Live Translation and more. 

For people who can't or dont want to speak on calls, you'll now be able to use Live Caption to convert text responses to speech.

Google

For mobile photography enthusiasts, Google is adding support for Night Sight directly in Snapchat. That means you'll no longer need to switch between camera apps when trying to capture pics in low-light environments. 

Meanwhile, Pixel phones are also getting the ability to share their screen with others during video calls in Google Duo similar to Apple's SharePlay in iOS 15. Previously, Live Sharing was an exclusive feature first introduced on Samsung's Galaxy S22 phones, but now Google is opening up that functionality to Pixel devices as well.

A new feature in Gboard on Pixel phones will allow you to automatically convert text into colorful stickers.

Google

For messaging, Gboard has gotten an update allowing it to convert text (English only for now) into custom stickers on the fly, so your chats will look a bit more lively. Alternatively, for those who cannot or prefer not to speak during phone calls, the Pixel's Live Caption feature will let you type a response that will be converted from text to speech for the recipient. 

On the Pixel 6 and Pixel 6 Pro, Live Translate is also getting an upgrade allowing you to activate Interpreter mode in three new languages: French, Spanish, and Italian. Furthermore, Google's latest flagship phone will be able to automatically detect Spanish in videos and other media, allowing you to translate audio into English, French, Italian, German and Japanese (beta).  

Support for Live Translate in Spanish is coming to Pixel phones in Google's 10th feature drop.

Google

Other changes to language support on the Pixel 6 include the ability to transcribe Italian and Spanish in the Recorder app, along with new support for Assistant Quick Phrases in Spanish, French and Italian. 

The Pixel's At a Glance feature is also getting an update thanks to new widgets that will display the battery levels of connected Bluetooth devices like wireless earbuds. Google says the feature will also surface helpful info such as alarm reminders, safety check countdowns, and even earthquake alerts more frequently on the phone's home and lock screens when appropriate.

Finally, Google is adding a new line of curated wallpapers celebrating Internation Women's Day from artist Manjit Thapp, while older Pixel phones (from the 3a and up) are also getting support for Direct My Call and Wait Time.

All products recommended by Engadget are selected by our editorial team, independent of our parent company. Some of our stories include affiliate links. If you buy something through one of these links, we may earn an affiliate commission.

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Safari Translation uncovers March 8 event hints on international Apple sites - AppleInsider - Translation

AppleInsider is supported by its audience and may earn commission as an Amazon Associate and affiliate partner on qualifying purchases. These affiliate partnerships do not influence our editorial content.

Every Apple site in the world is on-message about the March 8 event - but there are tantalizing differences in how some of them are describing it.

There are people who take microscopes to Apple invitations like the March 8 one, to look for clues for what an event will reveal. If you're going to do that, though, you should at least go all the way - and examine Apple invitations from around the globe.

In truth, you know for absolute certain that the finest copywriters money can buy work on Apple's website and nothing is written by accident, nothing is written without being vetted. Yet Apple does provide a way to undo some of that writing using Machine Learning.

It's called Safari Translation, and with the click of a button you can have a foreign language website re-rendered in English. There are still only around half a dozen languages you can do this with, but it is an amazing feature for serious work - and not so serious work, too.

'Peek performance' in other words

So if you should go to Apple's Japan website and click that translate button, this is what Safari Machine Learning thinks it really says. "The ban on the highest peak is lifted."

That sounds somehow suitably poetic for Japan, and translated French goes for a more theatrical approach. "The performance enters the scene," says Apple France.

Germany sounds like it's criticizing all rivals, since the March 8 event will reveal "our idea of performance." And Brazil goes for a steadier "An unprecedented performance."

Apple Italy's strapline machine-translates into "Come and see what a performance."

The differences are subtle, and this is surely as much a measure of Safari's automatic translation as anything else. But it does also feel like a little like these different countries having just the slightest different take on the event.

Unless you're talking about China, in which case "Peek performance" is just perfunctorily translated as "Apple Special Events." Curiously, China is the only one of these sites that doesn't headline the event - you have to scroll down below all the iPhone links there.

The worth of machine translation

"Don Quixote" writer Miguel de Cervantes famously said that reading translation is like looking at the back of a tapestry. Or probably, anyway: he said it in Spanish.

There is more than a chance that using Safari translation to convert back what Apple copywriters first translated by hand gets us nothing but a repeat of the Pepsi effect.

That was when the drink's slogan "Come alive with Pepsi," was allegedly translated in China as "Pepsi brings your ancestors back from the dead."

But you can least be sure of this. The March 8 event is not going to just launch the mildly refreshed iPhone SE, not if Japan believes "the ban on the highest peak is lifted."

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How Captions In TikTok Videos And Dictionary.com Are Remaking Internet Culture And How We Literally Talk About Disability In Tech - Forbes - Dictionary

Meta's machine translation journey - Analytics India Magazine - Translation

There are around 7000 languages spoken globally, but most translation models focus on English and other popular languages. This excludes a major part of the world from the benefit of having access to content, technologies and other advantages of being online. Tech giants are trying to bridge this gap. Just days back, Meta announced that it plans to bring out a Universal Speech Translator to translate speech from one language to another in real-time. This announcement is not surprising to anyone who follows the company closely. Meta has been devoted to bringing innovations in machine translations for quite some time now. 

Let us take a quick look back into the major highlights of its machine translation journey.

2018

Scaling NMT translation

Meta used neural machine translation (NMT) to automatically translate text in posts and comments. NMT models are useful at learning from large-scale monolingual data, and Meta was able to train an NMT model in 32 minutes. This was a drastic reduction in training time from 24 hours.

Open-sourcing LASER

In 2018, Meta also open-sourced the Language-Agnostic SEntence Representations (LASER) toolkit. It works with over 90 languages that are written in 28 different alphabets. LASER computes multilingual sentence embeddings for zero-shot cross-lingual transfer. It works on low-resource languages as well. Meta said that “LASER achieves these results by embedding all languages jointly in a single shared space (rather than having a separate model for each).”

2019

Wav2vec: unsupervised pre-training for speech recognition

Today, accessing various benefits of technology like GPS, virtual assistants essentially need speech recognition technology. But most of them rely on English, and a major chunk of people who do not speak the language or speak it with an accent not recognisable are excluded from using such an easy and important method of accessing information and services. Wav2vec wanted to solve this. Here, unsupervised pre-training for speech recognition was the focus point for Meta. Wav2vec is trained on unlabeled audio data.

Meta adds, “The wav2vec model is trained by predicting speech units for masked parts of speech audio. It learns basic units that are 25ms long to enable learning of high-level contextualised representations.”

Due to this, Meta has been able to build speech recognition systems that perform way better than best semi-supervised methods, though it can have 100 times less labelled training data.

2020

M2M-100: Multilingual machine translation

2020 was an important year for Meta, where it came out with different models that advanced machine translation technology. M2M-100 was one of them. It is a multilingual machine translation (MMT) model that translates between any pair of 100 languages without depending on English as an intermediary. M2M-100 is trained on a total of 2,200 language directions. This model wants to make the quality of translations worldwide better, especially those who speak low-resource languages claimed Meta. 

CoVoST: multilingual speech-to-text translation

CoVoST is a multilingual speech-to-text translation corpus from 11 languages into English. What makes it unique is that CoVoST covers over 11,000 speakers and over 60 accents. Meta claims that it is “the first end-to-end many-to-one multilingual model for spoken language translation.”

2021

FLORES 101: low-resource languages

Following M2M-100’s footsteps, in the first half of last year, Meta open-sourced FLORES-101. It is a many-to-many evaluation data set that covers 101 languages globally with a focus on low-resource languages that lack extensive datasets even now. Meta added, “FLORES-101 is the missing piece, the tool that enables researchers to rapidly test and improve upon multilingual translation models like M2M-100.”

2022

Dat2vec

In 2022, Meta released data2vec, calling it “the first high-performance self-supervised algorithm that works for multiple modalities.” It was applied to speech, text and images separately and it outperformed the previous best single-purpose algorithms for computer vision and speech. Data2vec does not rely on contrastive learning or reconstructing the input example. 

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